A cutting-edge, advanced level, exploration of optical sensing application in power transformers
Optical Sensing in Power Transformers is filled with the critical information and knowledge on the optical techniques applied in power transformers, which are important and expensive components in the electric power system. Effective monitoring of systems has proven to decrease the transformer lifecycle cost and increase a high level of availability and reliability. It is commonly held that optical sensing techniques will play an increasingly significant role in online monitoring of power transformers.
In this comprehensive text, the authors–noted experts on the topic–present a scholarly review of the various cutting-edge optical principles and methodologies adopted for online monitoring of power transformers. Grounded in the authors’ extensive research, the book examines optical techniques and high-voltage equipment testing and provides the foundation for further application, prototype, and manufacturing. The book explores the principles, installation, operation, condition detection, monitoring, and fault diagnosis of power transformers. This important text:
* Provides a current exploration of optical sensing application in power transformers
* Examines the critical balance and pros and cons of cost and quality of various optical condition monitoring techniques
* Presents a wide selection of techniques with appropriate technical background
* Extends the vision of condition monitoring testing and analysis
* Treats condition monitoring testing and analysis tools together in a coherent framework
Written for researchers, technical research and development personnel, manufacturers, and frontline engineers, Optical Sensing in Power Transformers offers an up-to-date review of the most recent developments of optical sensing application in power transformers.
Optical Sensing in Power Transformers is filled with the critical information and knowledge on the optical techniques applied in power transformers, which are important and expensive components in the electric power system. Effective monitoring of systems has proven to decrease the transformer lifecycle cost and increase a high level of availability and reliability. It is commonly held that optical sensing techniques will play an increasingly significant role in online monitoring of power transformers.
In this comprehensive text, the authors–noted experts on the topic–present a scholarly review of the various cutting-edge optical principles and methodologies adopted for online monitoring of power transformers. Grounded in the authors’ extensive research, the book examines optical techniques and high-voltage equipment testing and provides the foundation for further application, prototype, and manufacturing. The book explores the principles, installation, operation, condition detection, monitoring, and fault diagnosis of power transformers. This important text:
* Provides a current exploration of optical sensing application in power transformers
* Examines the critical balance and pros and cons of cost and quality of various optical condition monitoring techniques
* Presents a wide selection of techniques with appropriate technical background
* Extends the vision of condition monitoring testing and analysis
* Treats condition monitoring testing and analysis tools together in a coherent framework
Written for researchers, technical research and development personnel, manufacturers, and frontline engineers, Optical Sensing in Power Transformers offers an up-to-date review of the most recent developments of optical sensing application in power transformers.
€119.99
关于作者
JUN JIANG, PHD, is Associate Professor, Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, China.GUOMING MA, PHD, is Professor, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, China.
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语言 英语 ● 格式 PDF ● 网页 256 ● ISBN 9781119765295 ● 文件大小 12.3 MB ● 出版者 John Wiley & Sons ● 发布时间 2020 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 7710955 ● 复制保护 Adobe DRM
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